Child Developmental MRI (CDM) project: protocol for a multi-centre, cross-sectional study on elucidating the pathophysiology of attention-deficit/hyperactivity disorder and autism spectrum disorder through a multi-dimensional approach
IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of...
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Published in | BMJ open Vol. 13; no. 6; p. e070157 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
British Medical Journal Publishing Group
23.06.2023
BMJ Publishing Group LTD BMJ Publishing Group |
Series | Protocol |
Subjects | |
Online Access | Get full text |
ISSN | 2044-6055 2044-6055 |
DOI | 10.1136/bmjopen-2022-070157 |
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Abstract | IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.Methods and analysisWe will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.Ethics and disseminationThe study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences. |
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AbstractList | Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.INTRODUCTIONNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.We will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.METHODS AND ANALYSISWe will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.The study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.ETHICS AND DISSEMINATIONThe study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences. Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures. We will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD. The study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences. Introduction Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.Methods and analysis We will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.Ethics and dissemination The study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences. IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.Methods and analysisWe will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.Ethics and disseminationThe study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences. |
Author | Jung, Minyoung Tachibana, Masaya Mohri, Ikuko Tsujikawa, Tetsuya Nishitani, Shota Yao, Akiko Kosaka, Hirotaka Kurata, Sawa Hirano, Yoshiyuki Yoshida, Tokiko Shimizu, Eiji Taniike, Masako Nakanishi, Mariko Kagitani-Shimono, Kuriko Mizuno, Yoshifumi Kato, Yoko Yamashita, Masatoshi Tomoda, Akemi Sasaki, Tsuyoshi Matsumoto, Koji Hamatani, Sayo Tsuchiya, Kenji J Okazawa, Hidehiko |
AuthorAffiliation | 4 Department of Paediatrics , Osaka University Graduate School of Medicine , Osaka , Japan 10 Department of Radiology , Chiba University Hospital , Chiba , Japan 8 Cognitive Science Research Group , Korea Brain Research Institute , Daegu , Korea (the Republic of) 5 Research Centre for Child Mental Development , Chiba University , Chiba , Japan 6 Department of Child and Adolescent Psychological Medicine , University of Fukui Hospital , Fukui , Japan 3 Molecular Research Centre for Children’s Mental Development , Osaka University Graduate School of Medicine , Osaka , Japan 7 Department of Neuropsychiatry, Faculty of Medical Sciences , University of Fukui , Fukui , Japan 9 Department of Child Psychiatry and Psychiatry , Chiba University Hospital , Chiba , Japan 2 United Graduate School of Child Development, Osaka University, Kanazawa University , Hamamatsu University School of Medicine, Chiba University and University of Fukui , Osaka , Japan 1 Research Centre for Child Mental Development , Univer |
AuthorAffiliation_xml | – name: 2 United Graduate School of Child Development, Osaka University, Kanazawa University , Hamamatsu University School of Medicine, Chiba University and University of Fukui , Osaka , Japan – name: 1 Research Centre for Child Mental Development , University of Fukui , Fukui , Japan – name: 13 Biomedical Imaging Research Centre , University of Fukui , Fukui , Japan – name: 3 Molecular Research Centre for Children’s Mental Development , Osaka University Graduate School of Medicine , Osaka , Japan – name: 4 Department of Paediatrics , Osaka University Graduate School of Medicine , Osaka , Japan – name: 12 Department of Radiology, Faculty of Medical Sciences , University of Fukui , Fukui , Japan – name: 10 Department of Radiology , Chiba University Hospital , Chiba , Japan – name: 9 Department of Child Psychiatry and Psychiatry , Chiba University Hospital , Chiba , Japan – name: 6 Department of Child and Adolescent Psychological Medicine , University of Fukui Hospital , Fukui , Japan – name: 5 Research Centre for Child Mental Development , Chiba University , Chiba , Japan – name: 8 Cognitive Science Research Group , Korea Brain Research Institute , Daegu , Korea (the Republic of) – name: 11 Research Centre for Child Mental Development , Hamamatsu University School of Medicine , Hamamatsu , Japan – name: 7 Department of Neuropsychiatry, Faculty of Medical Sciences , University of Fukui , Fukui , Japan |
Author_xml | – sequence: 1 givenname: Masatoshi surname: Yamashita fullname: Yamashita, Masatoshi organization: United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Osaka, Japan – sequence: 2 givenname: Kuriko surname: Kagitani-Shimono fullname: Kagitani-Shimono, Kuriko organization: Department of Paediatrics, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 3 givenname: Yoshiyuki orcidid: 0000-0003-3844-3061 surname: Hirano fullname: Hirano, Yoshiyuki organization: Research Centre for Child Mental Development, Chiba University, Chiba, Japan – sequence: 4 givenname: Sayo surname: Hamatani fullname: Hamatani, Sayo organization: Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan – sequence: 5 givenname: Shota surname: Nishitani fullname: Nishitani, Shota organization: United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Osaka, Japan – sequence: 6 givenname: Akiko surname: Yao fullname: Yao, Akiko organization: Research Centre for Child Mental Development, University of Fukui, Fukui, Japan – sequence: 7 givenname: Sawa surname: Kurata fullname: Kurata, Sawa organization: Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan – sequence: 8 givenname: Hirotaka surname: Kosaka fullname: Kosaka, Hirotaka organization: Department of Neuropsychiatry, Faculty of Medical Sciences, University of Fukui, Fukui, Japan – sequence: 9 givenname: Minyoung surname: Jung fullname: Jung, Minyoung organization: Cognitive Science Research Group, Korea Brain Research Institute, Daegu, Korea (the Republic of) – sequence: 10 givenname: Tokiko surname: Yoshida fullname: Yoshida, Tokiko organization: Research Centre for Child Mental Development, Chiba University, Chiba, Japan – sequence: 11 givenname: Tsuyoshi surname: Sasaki fullname: Sasaki, Tsuyoshi organization: Department of Child Psychiatry and Psychiatry, Chiba University Hospital, Chiba, Japan – sequence: 12 givenname: Koji surname: Matsumoto fullname: Matsumoto, Koji organization: Department of Radiology, Chiba University Hospital, Chiba, Japan – sequence: 13 givenname: Yoko surname: Kato fullname: Kato, Yoko organization: Department of Paediatrics, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 14 givenname: Mariko surname: Nakanishi fullname: Nakanishi, Mariko organization: Department of Paediatrics, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 15 givenname: Masaya surname: Tachibana fullname: Tachibana, Masaya organization: Department of Paediatrics, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 16 givenname: Ikuko surname: Mohri fullname: Mohri, Ikuko organization: Department of Paediatrics, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 17 givenname: Kenji J surname: Tsuchiya fullname: Tsuchiya, Kenji J organization: Research Centre for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan – sequence: 18 givenname: Tetsuya surname: Tsujikawa fullname: Tsujikawa, Tetsuya organization: Department of Radiology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan – sequence: 19 givenname: Hidehiko surname: Okazawa fullname: Okazawa, Hidehiko organization: Biomedical Imaging Research Centre, University of Fukui, Fukui, Japan – sequence: 20 givenname: Eiji surname: Shimizu fullname: Shimizu, Eiji organization: Research Centre for Child Mental Development, Chiba University, Chiba, Japan – sequence: 21 givenname: Masako surname: Taniike fullname: Taniike, Masako organization: Department of Paediatrics, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 22 givenname: Akemi surname: Tomoda fullname: Tomoda, Akemi organization: Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan – sequence: 23 givenname: Yoshifumi orcidid: 0000-0003-2209-352X surname: Mizuno fullname: Mizuno, Yoshifumi email: mizunoy@u organization: Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37355265$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_braindev_2025_104340 |
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Copyright_xml | – notice: Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. – notice: 2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2023 |
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Keywords | Paediatric neurology Developmental neurology & neurodisability Child & adolescent psychiatry |
Language | English |
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Snippet | IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in... Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain... Introduction Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in... |
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StartPage | e070157 |
SubjectTerms | Adult Attention Deficit Disorder with Hyperactivity - diagnostic imaging Attention deficit hyperactivity disorder Autism Autism Spectrum Disorder - diagnostic imaging Biomarkers Brain Brain research Child Child & adolescent psychiatry Children & youth Cross-Sectional Studies Developmental neurology & neurodisability DNA methylation Epigenetics Head injuries Humans Hyperactivity Informed consent Magnetic Resonance Imaging Medical imaging Mental disorders Mental Health Multicenter Studies as Topic Neurobiology Neuroimaging Paediatric neurology Pathogenesis Pediatrics Pregnancy Scanners Special education Teenagers |
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Title | Child Developmental MRI (CDM) project: protocol for a multi-centre, cross-sectional study on elucidating the pathophysiology of attention-deficit/hyperactivity disorder and autism spectrum disorder through a multi-dimensional approach |
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